A fingerprint identification algorithm by clustering similarity

	A fingerprint identification algorithm by clustering similarity
	Tian, J; He, YL; Chen, H; Yang, X
刊名	SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
	2005-08-01
卷号	48 期号:4 页码:437-451
关键词	dyadic scale space (DSS) minutia-simplex multi-resolution comprehensive similarity
通讯作者	Tian, Jie
英文摘要	This paper introduces a fingerprint identification algorithm by clustering similarity with the view to overcome the dilemmas encountered in fingerprint identification. To decrease multi-spectrum noises in a fingerprint, we first use a dyadic scale space (DSS) method for image enhancement. The second step describes the relative features among minutiae by building a minutia-simplex which contains a pair of minutiae and their local associated ridge information, with its transformation-variant and invariant relative features applied for comprehensive similarity measurement and for parameter estimation respectively. The clustering method is employed to estimate the transformation space. Finally, multi-resolution technique is used to find an optimal transformation model for getting the maximal mutual information between the input and the template features. The experimental results including the performance evaluation by the 2nd International Verification Competition in 2002 (FVC2002), over the four fingerprint databases of FVC2002 indicate that our method is promising in an automatic fingerprint identification system (AFIS).
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems
研究领域[WOS]	Computer Science
关键词[WOS]	VERIFICATION ; ENHANCEMENT ; SPACE
收录类别	SCI
语种	英语
WOS记录号	WOS:000231865400003
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9127]
专题	自动化研究所_09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Ctr Biomet Res & Testing,Grad Sch, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Tian, J,He, YL,Chen, H,et al. A fingerprint identification algorithm by clustering similarity[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2005,48(4):437-451.
APA	Tian, J,He, YL,Chen, H,&Yang, X.(2005).A fingerprint identification algorithm by clustering similarity.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,48(4),437-451.
MLA	Tian, J,et al."A fingerprint identification algorithm by clustering similarity".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 48.4(2005):437-451.